POLYPHENOLICS EXTRACTS FROM LEGUME SEEDS: CORRELATIONS BETWEEN TOTAL ANTIOXIDANT ACTIVITY, TOTAL PHENOLICS CONTENT, TANNINS CONTENT AND ASTRINGENCY
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Extracts of polyphenolic compounds were obtained from seeds of faba bean, broad bean, adzuki bean, red bean, pea, red lentil and green lentil using 80% (v/v) acetone. The total antioxidant activity (TAA) of extracts was determined and their astringency (Sensation Astringency Indices – SAI) investigated using the sensory scaling method. The content of tannins in extracts was expressed as absorbance values at 500 and 550 nm after color developed with vanillin/HCl reagent and after n‐butanol‐HCl hydrolysis, respectively. A statistically significant correlation was found between the TAA values and total phenolics ( P = 0.01), TAA and tannins determined by vanillin method ( P = 0.05), TAA and tannins determined after n‐butanol‐HCl hydrolysis ( P = 0.05), SAI values and tannins determined with vanillin method ( P = 0.10), SAI values and tannins determined after n‐butanol‐HCl hydrolysis ( P = 0.05), SAI values and total phenolics ( P = 0.01), total phenolics and tannin content determined by vanillin method ( P = 0.01), total phenolics and tannin content determined after n‐butanol‐HCl hydrolysis ( P = 0.05), tannins determined with vanillin method and tannins determined after n‐butanol hydrolysis ( P = 0.02).
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it